EMOPIA+

EMOPIA+ is a dataset published with paper "Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representation". It is an extension of EMOPIA, a multi-modal (audio and MIDI) database focusing on perceived emotion in pop piano music. To support two-stage generation, we extracted lead sheet (meloly + chord progressions) from original midi files, and manually corrected the key signatures of 367 clips. This dataset comprises 1,071 processed MIDI files along with their event-based representations: functional representation and REMI.

For more details about the extraction algorithms and the process to generate events, see the repo EMO-Disentanger. 

File Description

midis/: Processed MIDI clips containing four tracks: Melody, Texture, Bass, and Chord. The first three tracks can be merged into the original MIDI files.

adjust_keyname.json: Manually adjusted key signatures.

functional/: Functional representations of the MIDI files.

performance/: Events for performance, including Melody, Texture and Bass tracks.

lead_sheet/: Events for lead sheet, including Melody and Chord tracks.

lead_sheet_to_performance/: Events for both lead sheet and performance, facilitating conditional music generation. 

REMI/: REMI representations of the MIDI files, with the same structure as the functional/.

split/: train/val/test splits based on the instructions in EMOPIA.

Citation

@inproceedings{{EMOPIA},
author = {Hung, Hsiao-Tzu and Ching, Joann and Doh, Seungheon and Kim, Nabin and Nam, Juhan and Yang, Yi-Hsuan},
title = {{EMOPIA}: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation},
booktitle = {Proceedings of the International Society for Music Information Retrieval Conference, {ISMIR}},
year = {2021}
}@inproceedings{emodisentanger2024,
author = {Jingyue Huang and Ke Chen and Yi-Hsuan Yang},
title = {Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representation},
booktitle = {Proceedings of the International Society for Music Information Retrieval Conference, {ISMIR}},
year = {2024}
}